1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.01
## dh0           1.06       1.16
## dh1           1.05       1.13
## dl0           1.10       1.27
## dl1           1.19       1.50
## dl2           1.02       1.04
## 
## Multivariate psrf
## 
## 1.2

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.04
## LDevsum       1.00       1.00
## dh0           2.60       4.97
## dh1           2.57       6.22
## dl0           1.19       1.47
## dl1           1.05       1.14
## dl2           1.03       1.06
## 
## Multivariate psrf
## 
## 2.3

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results